Main Data:
This paper uses confidential hospital discharge data from Florida and we cannot publish our main dataset online. While this data differs from the state's limited access dataset, the data is available for anyone that is able to arrange with the state of Florida to obtain access to it. 

Alternatively, data that is largely identical to the data used in this paper is available through the SID project of HCUP (https://www.hcup-us.ahrq.gov/db/state/siddbdocumentation.jsp). The one replication that may need to be modified with the HCUP data is the same physician specification, since there was a change in the HCUP coding in 2010 such that physicians before and after 2010 cannot be compared with each other. However, this replication can still be done restricting to women with 2 births in 2010 or later. Also, while our dataset contains exact admission and discharge dates, the SID data contains discharge quarter and length of stay. Since we only use those dates to determine multiple birth episodes, our code would need to be modified in order to be based upon quarters, but this should not impact our results. 

Data Dictionary:
Data dictionaries are available at: https://fhfstore.blob.core.windows.net/documents/researchers/OrderData/documents/Inpatient%20Data%20Layout%202010-2015Q3%20March%202016.pdf (for 2010-2014) and https://fhfstore.blob.core.windows.net/documents/researchers/OrderData/documents/Inpatient%20Data%20Layout%202006%20-2009%20March%202016.pdf (for 2006-2009). We also use three fields not in this dictionary: "maskssn" (a de-identified person specific identifier), "admitdate" (admissions date), and "dischdate" (discharge dates).

Drive Times:
We computed drive times between hospitals and the centroid of patients zip codes at 8 AM on a Wed morning using ArcGIS 10.1 and the Streetmap Premium Add-on. We the file with those drivetimes is uploaded as allFL_8amWed.dta.

Code:
The code for this paper can all be run by running the Linux script file: run_switch.sh. This file first calls the script file run_general.sh, which preprocesses the data, and then calls a series of STATA and R files to obtain the estimates in the paper.

Software:
Aside from computing the drive times, we used STATA 14.1 and R 3.1.3 (both for Linux) with the packages listed at the bottom of this document, which were obtained by running sessionInfo() in R (versions are in parentheses)). 

R Packages
car (2.0-25)
stargazer (5.1)
iterators (1.0.7)
MASS (7.3-39)
zoo (1.7-12)
foreign (0.8-63)
sandwich (2.3-3)
dplyr (0.4.2)
foreach (1.4.2)
e1071 (1.6-4)
proto (0.3-10)
plyr (1.8.1)
lfe (2.1-1640)
stringr (0.6.2)
xtable (1.7.4)
reshape2 (1.4.1)
maxLik (1.2-4)
ggplot2 (1.0.1)
Matrix (1.1-5)
doParallel (1.0.8)
Formula (1.2-0)
scales (0.2.4)
miscTools (0.6-16)
data.table (1.9.4)
